/**
 * Copyright 2022 Huawei Technologies Co., Ltd
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

#ifndef MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_CPU_KL_DIV_LOSS_GRAD_CPU_KERNEL_H
#define MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_CPU_KL_DIV_LOSS_GRAD_CPU_KERNEL_H

#include <map>
#include <string>
#include <memory>
#include <vector>
#include <utility>
#include <unordered_map>
#include "kernel/cpu/cpu_kernel.h"
#include "include/runtime/hardware_abstract/kernel_base/ms_factory.h"

namespace mindspore {
namespace kernel {
namespace kl_div_loss_grad_cpu {
class KLDivLossGradCpuKernelMod : public NativeCpuKernelMod {
 public:
  KLDivLossGradCpuKernelMod() {}
  ~KLDivLossGradCpuKernelMod() override = default;

  bool Init(const std::vector<KernelTensor *> &inputs, const std::vector<KernelTensor *> &outputs) override;

  bool Launch(const std::vector<KernelTensor *> &inputs, const std::vector<KernelTensor *> &workspace,
              const std::vector<KernelTensor *> &outputs) override;

  int Resize(const std::vector<KernelTensor *> &inputs, const std::vector<KernelTensor *> &outputs) override;

  std::vector<KernelAttr> GetOpSupport() override;

 private:
  template <typename T>
  bool LaunchKernel(const std::vector<KernelTensor *> &inputs, const std::vector<KernelTensor *> &,
                    const std::vector<KernelTensor *> &outputs);

  bool CheckParams() const;

  using KLDivLossGradFunc =
    std::function<bool(KLDivLossGradCpuKernelMod *, const std::vector<KernelTensor *> &,
                       const std::vector<KernelTensor *> &, const std::vector<KernelTensor *> &)>;

  static std::vector<std::pair<KernelAttr, KLDivLossGradFunc>> func_list_;
  KLDivLossGradFunc kernel_func_;
  std::string reductionMode_ = "mean";
  int64_t batch_size_{1};
  size_t input_x_shape_size_{1};
  size_t input_target_shape_size_{1};
  size_t input_grad_shape_size_{1};
};
}  // namespace kl_div_loss_grad_cpu
}  // namespace kernel
}  // namespace mindspore

#endif  // MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_CPU_KL_DIV_LOSS_CPU_KERNEL_H
